World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 97 211 205 33 33 557 49136
Computer Science 99 385 373 45 43 624 50899

Yunhao Liu publications per year

The chart shows the history of publications by Yunhao Liu between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yunhao Liu published across 37 years, from 1989 to 2025, averaging 17.1 papers a year. Output peaked at 57 publications in 2013. 6 of the 634 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 57. Peak 57 publications in 2013. 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 6 publications 2004: 13 publications 2005: 26 publications 2006: 21 publications 2007: 22 publications 2008: 34 publications 2009: 25 publications 2010: 39 publications 2011: 38 publications 2012: 37 publications 2013: 57 publications 2014: 55 publications 2015: 52 publications 2016: 44 publications 2017: 28 publications 2018: 32 publications 2019: 26 publications 2020: 24 publications 2021: 35 publications 2022: 6 publications 2023: 7 publications 2024: 3 publications 2025: 3 publications
1989 2025

634 publications in total across all disciplines

View publications per year as a table
Yunhao Liu: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 6
2004 13
2005 26
2006 21
2007 22
2008 34
2009 25
2010 39
2011 38
2012 37
2013 57
2014 55
2015 52
2016 44
2017 28
2018 32
2019 26
2020 24
2021 35
2022 6
2023 7
2024 3
2025 3
Total 634
Download as CSV

Yunhao Liu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Yunhao Liu sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 554–573 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 557 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75 557
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Yunhao Liu D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Yunhao Liu sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 97 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 97 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10 97
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2015 - ACM Fellow For contributions to sensor networks.
  • 2015 - IEEE Fellow For contributions to wireless sensor networks and systems
  • 2013 - ACM Presidential Award Yunhao Liu, professor at Tsinghua University, is an active researcher and a member of the ACM China Council. He has spread the word and shared the value that ACM offers to China's vast computing community. As a result of his efforts, ACM membership in China has grown significantly. ACM is now a co-sponsor of the annual China National Computer Congress, China's largest event of its kind in the computer field. The gathering focused on green computing, system software, sensor network, information security, high-performance computing, mobile internet and intelligent terminals.

Overview

Yunhao Liu is affiliated with Tsinghua University in China and has a research portfolio predominantly within computer science and engineering. Their work spans various subfields, focusing notably on computer networks and communications, signal processing, and information systems. Additional subfields include electrical and electronic engineering as well as computer vision and pattern recognition.

The research output includes contributions on topics such as advanced malware detection techniques, speech and audio processing, network time synchronization technologies, real-time systems scheduling, software testing and debugging techniques, advanced data storage technologies, and indoor and outdoor localization technologies.

Selected recent publications by Yunhao Liu feature:

  • Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects, 2022, Current Issues in Tourism
  • A survey on edge computing for wearable technology, 2021, Digital Signal Processing (co-authored by Xinqi Jin)
  • DeepKey, 2020, ACM Transactions on Intelligent Systems and Technology (co-authored by Xiang Zhang)
  • Systematically Landing Machine Learning onto Market-Scale Mobile Malware Detection, 2020, IEEE Transactions on Parallel and Distributed Systems (co-authored by Liangyi Gong)
  • LEGO-Fi: Transmitter-Transparent CTC With Cross-Demapping, 2021, IEEE Internet of Things Journal (co-authored by Xiuzhen Guo)

Frequently collaborating colleagues include:

  • Gengzhong Feng
  • Zhenhua Li
  • Fan Dang
  • Hao Lin
  • Yuan He

Yunhao Liu has published multiple articles in notable venues such as the IEEE Transactions on Mobile Computing, Digital Signal Processing, Current Issues in Tourism, ACM Transactions on Intelligent Systems and Technology, and the 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS).

Recognition of their work includes honors such as:

  • ACM Fellow (2015) for contributions to sensor networks
  • IEEE Fellow (2015) for contributions to wireless sensor networks and systems
  • ACM Presidential Award (2013) acknowledging efforts in promoting ACM membership and influence within China's computing community

Best Publications

  • LANDMARC: indoor location sensing using active RFID

    Lionel M. Ni;Yunhao Liu;Yiu Cho Lau;Abhishek P. Patil

  • Big Data: A Survey

    Min Chen;Shiwen Mao;Yunhao Liu

  • From RSSI to CSI: Indoor localization via channel response

    Zheng Yang;Zimu Zhou;Yunhao Liu

  • Rendered path: range-free localization in anisotropic sensor networks with holes

    Mo Li;Yunhao Liu

  • Locating in fingerprint space: wireless indoor localization with little human intervention

    Zheng Yang;Chenshu Wu;Yunhao Liu

  • Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices

    Lei Yang;Yekui Chen;Xiang-Yang Li;Chaowei Xiao

  • Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities

    Kaixuan Chen;Dalin Zhang;Lina Yao;Bin Guo

  • WILL: Wireless Indoor Localization without Site Survey

    Chenshu Wu;Zheng Yang;Yunhao Liu;Wei Xi

  • WILL: Wireless indoor localization without site survey

    Chenshu Wu;Zheng Yang;Yunhao Liu;Wei Xi

  • Underground structure monitoring with wireless sensor networks

    Mo Li;Yunhao Liu

  • VIRE: Active RFID-based Localization Using Virtual Reference Elimination

    Yiyang Zhao;Yunhao Liu;L.M. Ni

  • Incentives for Mobile Crowd Sensing: A Survey

    Xinglin Zhang;Zheng Yang;Wei Sun;Yunhao Liu

  • Underground coal mine monitoring with wireless sensor networks

    Mo Li;Yunhao Liu

  • Location, Localization, and Localizability

    Yunhao Liu;Zheng Yang;Xiaoping Wang;Lirong Jian

  • AnySee: Peer-to-Peer Live Streaming

    X. Liao;H. Jin;Y. Liu;L. M. Ni

  • Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs

    Yunhao Liu;Yuan He;Mo Li;Jiliang Wang

  • Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

    Yue Zheng;Yi Zhang;Kun Qian;Guidong Zhang

  • Does wireless sensor network scale? A measurement study on GreenOrbs

    Yunhao Liu;Yuan He;Mo Li;Jiliang Wang

  • Canopy closure estimates with GreenOrbs: sustainable sensing in the forest

    Lufeng Mo;Yuan He;Yunhao Liu;Jizhong Zhao

  • A Survey of Green Mobile Networks: Opportunities and Challenges

    Xiaofei Wang;Athanasios V. Vasilakos;Min Chen;Yunhao Liu

  • Smartphones Based Crowdsourcing for Indoor Localization

    Chenshu Wu;Zheng Yang;Yunhao Liu

Frequent Co-Authors

Zheng Yang
Zheng Yang Tsinghua University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Yuan He
Yuan He Tsinghua University
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
Mo Li
Mo Li Hong Kong University of Science and Technology
Jiliang Wang
Jiliang Wang Tsinghua University
Chenshu Wu
Chenshu Wu University of Hong Kong
Li Xiao
Li Xiao Michigan State University
Lei Yang
Lei Yang Hong Kong Polytechnic University
Zimu Zhou
Zimu Zhou City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options can enhance your career prospects in Electronics and Electrical Engineering. Many students today consider a what is a competency based masters degree to gain skills efficiently, focusing on mastery of subjects rather than traditional timelines. This approach is particularly beneficial for working professionals or those looking to accelerate their studies.

Military spouses and dependents often face unique challenges when pursuing higher education. Fortunately, several online school for military spouses provide flexible and supportive programs tailored to their needs, enabling them to advance their expertise in engineering fields without geographic constraints.

Flexibility is key when balancing studies with personal or professional obligations. Institutions offering best online colleges with weekly start dates allow students to begin courses throughout the year, providing greater control over enrollment and pacing.

Moreover, short-term credentials can fast-track entry or advancement in technical roles. Pursuing certificate programs that pay well in electronics or electrical engineering fields is an excellent strategy to gain specialized skills quickly and enhance earning potential.

Best Scientists Citing Yunhao Liu

Trending Scientists

Recently Published Articles